Cell Invasion Analysis of Tumor Spheroids Using 2D Image Data.

ABSTRACT: Metastatic disease is the most severe complication in oncological patients. The quantification of cellular invasion into the surrounding tissue is crucial for the identification of strategies to suppress this process. Extracellular matrix-embedded 3D cancer models, such as spheroids and organoids, are commonly used to mimic tumor progression under in vitro conditions. However, robust and widely used algorithms to detect and quantify spheroid growth and invasion into the surrounding matrix are still lacking. In this study, we use fluorescently labeled 3D models, as fluorescence images are generally of higher quality than bright-field images. We present a methodology to compute the mask of the spheroid core and to detect and characterize cells outside this mask. We have developed two

SUBMITTER: Prikryl M 

PROVIDER: S-EPMC12921606 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature